Paper Citation Record · LEDGER

Can Generative Video Models Help Pose Estimation?

As of 18 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2412.16155.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.16155 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:49:17.868077Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:13:38.707597Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T19:13:40.995213Z

Reference resolution

63 of 63 outbound references displayed

verified exact0
verified fuzzy31
unresolved31
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15073bd2-ebec-49fa-96cc-1dc675cd3e19 · outbound

This paper cites GPT-4 Technical Report.

Can Generative Video Models Help Pose Estimation? GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.455905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6703c0-3549-458f-9344-e202fd177d44 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Can Generative Video Models Help Pose Estimation? Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:19.259037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3dfae3fd-ace5-4f69-aaf5-cc1c5a7be6a8 · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

Can Generative Video Models Help Pose Estimation? Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.467825Z

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Observation 70d139bb-d929-468c-bf1a-5365ef4971ea · outbound

This paper cites Surf: Speeded up robust features.

Can Generative Video Models Help Pose Estimation? Surf: Speeded up robust features

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.476836Z

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Observation b398ad21-08ba-418b-9701-9f693493a2ef · outbound

This paper cites Extreme Rotation Estimation in the Wild.

Can Generative Video Models Help Pose Estimation? Extreme Rotation Estimation in the Wild

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.486340Z

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Observation 56902389-eab0-4b9c-9021-a68a3111a7a9 · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

Can Generative Video Models Help Pose Estimation? Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.497324Z

Source-reported events for the cited work

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Observation 57fd75e7-05e2-4ce8-a32f-1ec7ce6f458a · outbound

This paper cites an unresolved cited work.

Can Generative Video Models Help Pose Estimation? Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.506493Z

Source-reported events for the cited work

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Observation b05ed16e-14a3-4b98-9652-7305f80bc244 · outbound

This paper cites Video generation models as world simulators.

Can Generative Video Models Help Pose Estimation? Video generation models as world simulators

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.515931Z

Source-reported events for the cited work

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Observation 52acb472-2b02-4c22-9167-89fa37aad742 · outbound

This paper cites Extreme rotation estimation using dense cor- relation volumes.

Can Generative Video Models Help Pose Estimation? Extreme rotation estimation using dense cor- relation volumes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:19.155785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86b2f14c-774d-422f-91d3-3d6aef508027 · outbound

This paper cites Wide- baseline relative camera pose estimation with directional learning.

Can Generative Video Models Help Pose Estimation? Wide- baseline relative camera pose estimation with directional learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:19.137544Z

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Observation ec189007-980b-492c-810b-1ff9d789ba5b · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner.

Can Generative Video Models Help Pose Estimation? Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:19.111534Z

Source-reported events for the cited work

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Observation b450e6b0-d70f-4fe6-8cee-9edc2ba9a0d9 · outbound

This paper cites Stochastic video generation with a learned prior.

Can Generative Video Models Help Pose Estimation? Stochastic video generation with a learned prior

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.546260Z

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Observation eb90219a-daa1-4ac1-9cb3-1eed3573969a · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

Can Generative Video Models Help Pose Estimation? Superpoint: Self-supervised interest point detection and description

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:19.070438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bae2a73e-bb43-44c4-ac48-de5690c9d20c · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.

Can Generative Video Models Help Pose Estimation? Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.558355Z

Source-reported events for the cited work

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Observation 7aa04694-dc71-44e9-9eb5-583bd9735aa8 · outbound

This paper cites Photorealistic video generation with diffusion models.

Can Generative Video Models Help Pose Estimation? Photorealistic video generation with diffusion models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.565517Z

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Observation ff3a9dd0-479c-4d53-96a5-6d5b686c5a67 · outbound

This paper cites In defense of the eight-point algorithm.

Can Generative Video Models Help Pose Estimation? In defense of the eight-point algorithm

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:19.013509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f9cbb8a0-0342-4be2-95d7-434fc1fba212 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Can Generative Video Models Help Pose Estimation? Denoising diffu- sion probabilistic models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.576582Z

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Observation 935ba347-e76b-4067-ba11-327c237604e5 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Can Generative Video Models Help Pose Estimation? Imagen Video: High Definition Video Generation with Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.581194Z

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Observation ff2c4a90-51e4-483a-93e4-823a25f41aa1 · outbound

This paper cites Video dif- fusion models.

Can Generative Video Models Help Pose Estimation? Video dif- fusion models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.587406Z

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Observation 9de73a31-26f4-4de3-a5bb-459152883b6a · outbound

This paper cites Learning to decompose and disen- tangle representations for video prediction.

Can Generative Video Models Help Pose Estimation? Learning to decompose and disen- tangle representations for video prediction

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.908105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41365cb5-0789-4507-a16a-57a8ab25d9e3 · outbound

This paper cites Navi: Category-agnostic image collections with high-quality 3d shape and pose annotations.

Can Generative Video Models Help Pose Estimation? Navi: Category-agnostic image collections with high-quality 3d shape and pose annotations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.888451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ea273e9-0b7d-4d46-8823-bd6ba2c1501a · outbound

This paper cites Omniglue: Generalizable feature match- ing with foundation model guidance.

Can Generative Video Models Help Pose Estimation? Omniglue: Generalizable feature match- ing with foundation model guidance

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.607434Z

Source-reported events for the cited work

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Observation 6a738045-8beb-48a3-80f3-17495cc7f690 · outbound

This paper cites Image matching across wide baselines: From paper to practice.

Can Generative Video Models Help Pose Estimation? Image matching across wide baselines: From paper to practice

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.852551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b8b5f44-38f9-483a-a890-88678c3bb44c · outbound

This paper cites Lfm-3d: Learnable feature matching across wide baselines using 3d signals.

Can Generative Video Models Help Pose Estimation? Lfm-3d: Learnable feature matching across wide baselines using 3d signals

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.821660Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6d41526-004b-4ca9-bf1a-b24b80debca7 · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization.

Can Generative Video Models Help Pose Estimation? Posenet: A convolutional network for real-time 6-dof camera relocalization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.625244Z

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Observation a14377f9-dc89-4c0b-9e52-d68bfc629f6c · outbound

This paper cites Kling ai, 2024.

Can Generative Video Models Help Pose Estimation? Kling ai, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.780489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f6266d70-efde-40a4-b745-5f870e3ce202 · outbound

This paper cites Stochastic Adversarial Video Prediction.

Can Generative Video Models Help Pose Estimation? Stochastic Adversarial Video Prediction

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.640648Z

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Observation 2528ef87-4a05-4791-bace-d962ddb45069 · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

Can Generative Video Models Help Pose Estimation? Ground- ing image matching in 3d with mast3r

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.646626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31faefcc-c490-4c48-85e1-af58ef399b0d · outbound

This paper cites RelPose++: Recovering 6D Poses from Sparse-view Observations.

Can Generative Video Models Help Pose Estimation? RelPose++: Recovering 6D Poses from Sparse-view Observations

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.650702Z

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Observation c193beb4-1178-4934-906b-89e2314f5c54 · outbound

This paper cites Lightglue: Local feature matching at light speed.

Can Generative Video Models Help Pose Estimation? Lightglue: Local feature matching at light speed

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.741801Z

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Observation 7bfb523c-cb8d-4e0a-9dc9-0607f74f02c9 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

Can Generative Video Models Help Pose Estimation? Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.710432Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f35a3c7d-d50a-4626-a88f-d89cfe7e918b · outbound

This paper cites A computer algorithm for reconstructing a scene from two projections.

Can Generative Video Models Help Pose Estimation? A computer algorithm for reconstructing a scene from two projections

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.676011Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 919e4b15-45b3-4b55-8042-fe77447e4d3d · outbound

This paper cites Distinctive image features from scale- invariant keypoints.

Can Generative Video Models Help Pose Estimation? Distinctive image features from scale- invariant keypoints

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.648600Z

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Observation e979f024-d312-4751-bc29-4c9ada45e8be · outbound

This paper cites Luma dream machine, 2024.

Can Generative Video Models Help Pose Estimation? Luma dream machine, 2024

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.628142Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a85bc594-7e93-4f0d-9f8c-33e2115943c2 · outbound

This paper cites Fast approximate nearest neighbors with automatic algorithm configuration.

Can Generative Video Models Help Pose Estimation? Fast approximate nearest neighbors with automatic algorithm configuration

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.607478Z

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Observation cecaec35-d467-4a53-95e1-9f4443a1155f · outbound

This paper cites An efficient solution to the five-point relative pose problem.

Can Generative Video Models Help Pose Estimation? An efficient solution to the five-point relative pose problem

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.583348Z

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Observation 23d07844-11dd-4e02-807d-59a88419ab2a · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Can Generative Video Models Help Pose Estimation? Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.703922Z

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Observation b306ca2f-45ce-494b-b249-5a72fcba2348 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Can Generative Video Models Help Pose Estimation? High-resolution image syn- thesis with latent diffusion models

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.558200Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1eff6048-7eac-44b3-adf5-037eefe3fef5 · outbound

This paper cites Orb: An efficient alternative to sift or surf.

Can Generative Video Models Help Pose Estimation? Orb: An efficient alternative to sift or surf

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.717377Z

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Unavailable: canonical work link unavailable.

Observation f62f27af-af99-44f2-a658-1ad8220e5313 · outbound

This paper cites Tools for human imagination, 2024.

Can Generative Video Models Help Pose Estimation? Tools for human imagination, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.528952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b94a6a4c-d03a-4b0a-9235-b56b3e855f86 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Can Generative Video Models Help Pose Estimation? Photorealistic text-to-image diffusion models with deep language understanding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.727119Z

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Observation e543099d-c1aa-4e59-8fd9-b28c08b97244 · outbound

This paper cites Tempo- ral generative adversarial nets with singular value clipping.

Can Generative Video Models Help Pose Estimation? Tempo- ral generative adversarial nets with singular value clipping

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.731264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74250d5d-4e55-417d-b716-acb718da20c3 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Can Generative Video Models Help Pose Estimation? Superglue: Learning feature matching with graph neural networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.481984Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25823814-c230-4f40-ab77-d9ba4ac8fffd · outbound

This paper cites Structure-from-motion revisited.

Can Generative Video Models Help Pose Estimation? Structure-from-motion revisited

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.742982Z

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Observation 67d2ba6f-1ea6-4d29-874a-cb8c5a7a16ec · outbound

This paper cites Pixelwise view selection for un- structured multi-view stereo.

Can Generative Video Models Help Pose Estimation? Pixelwise view selection for un- structured multi-view stereo

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.448483Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 879d032f-86da-4af9-91bc-1d32f6043c51 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Can Generative Video Models Help Pose Estimation? Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.755033Z

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Observation 4bf54e73-966e-4f62-868e-fceef08517d8 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Can Generative Video Models Help Pose Estimation? Deep unsupervised learning using nonequilibrium thermodynamics

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.760814Z

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Unavailable: canonical work link unavailable.

Observation 2ea0ebfb-bfa7-4d40-bd81-01c6e6f95cca · outbound

This paper cites Denoising Diffusion Implicit Models.

Can Generative Video Models Help Pose Estimation? Denoising Diffusion Implicit Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.765124Z

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Unavailable: canonical work link unavailable.

Observation 5dc5995c-2b76-42db-90c5-58ed408ef660 · outbound

This paper cites LoFTR: Detector-free local feature matching with transformers.

Can Generative Video Models Help Pose Estimation? LoFTR: Detector-free local feature matching with transformers

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.412040Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74b85558-954d-4612-bc63-89c24e936795 · outbound

This paper cites Quadtree attention for vision transformers.

Can Generative Video Models Help Pose Estimation? Quadtree attention for vision transformers

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.391886Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 491ed1bf-2db5-4429-97d5-fd5db80a3600 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Can Generative Video Models Help Pose Estimation? Raft: Recurrent all-pairs field transforms for optical flow

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.785605Z

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Observation 5fc0373a-2c5d-4d07-8839-ec83952bf55c · outbound

This paper cites MoCoGAN: Decomposing Motion and Content for Video Generation.

Can Generative Video Models Help Pose Estimation? MoCoGAN: Decomposing Motion and Content for Video Generation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.792720Z

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Observation 59c71db7-8e2c-46a5-ad58-5b4cee27da59 · outbound

This paper cites Disk: Learning local features with policy gradient.

Can Generative Video Models Help Pose Estimation? Disk: Learning local features with policy gradient

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.364602Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d52f639-fea1-4700-afeb-f7d51195ebe8 · outbound

This paper cites Hier- archical long-term video prediction without supervision.

Can Generative Video Models Help Pose Estimation? Hier- archical long-term video prediction without supervision

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.339826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9fddcf4-5994-4d27-9b81-40215279ff38 · outbound

This paper cites Phenaki: Variable length video generation from open domain textual descriptions.

Can Generative Video Models Help Pose Estimation? Phenaki: Variable length video generation from open domain textual descriptions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.819586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ffafcbc-9541-4500-ac18-dd5f7f404415 · outbound

This paper cites Generating videos with scene dynamics.

Can Generative Video Models Help Pose Estimation? Generating videos with scene dynamics

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.308426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e2cc559-bec0-4825-8e2d-6a62f47a4392 · outbound

This paper cites Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment.

Can Generative Video Models Help Pose Estimation? Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.279292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bc896f16-244e-4a54-85be-b4cbd5cc562f · outbound

This paper cites PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

Can Generative Video Models Help Pose Estimation? PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.835071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcb43e44-6264-418b-989c-2fdc15958cdc · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

Can Generative Video Models Help Pose Estimation? Dust3r: Geometric 3d vi- sion made easy

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.252474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 930b9b8a-3a6f-4b72-8347-27f3c55dedcd · outbound

This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.

Can Generative Video Models Help Pose Estimation? Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.233516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75da0a9e-e2d8-494d-8fd4-38d2b9a08421 · outbound

This paper cites Dynamicrafter: Animating open-domain images with video diffusion priors.

Can Generative Video Models Help Pose Estimation? Dynamicrafter: Animating open-domain images with video diffusion priors

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T10:49:17.854801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04485ba5-4f53-4653-8e50-12d94d3fd1db · outbound

This paper cites Rel- pose: Predicting probabilistic relative rotation for single ob- jects in the wild.

Can Generative Video Models Help Pose Estimation? Rel- pose: Predicting probabilistic relative rotation for single ob- jects in the wild

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:49:18.202403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a05e2aa0-724b-47f6-84cb-482b1bc5a1be · outbound

This paper cites Cameras as Rays: Pose Estimation via Ray Diffusion.

Can Generative Video Models Help Pose Estimation? Cameras as Rays: Pose Estimation via Ray Diffusion

Reference 63

Resolution: malformed identifier; no resolver link, observed 2026-08-11T10:49:17.868077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 335da015-e5d6-4308-bdd9-aaed01a63ee9 · inbound

Emergent Temporal Correspondences from Video Diffusion Transformers cites this paper.

Emergent Temporal Correspondences from Video Diffusion Transformers Can Generative Video Models Help Pose Estimation?

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T19:13:41.000631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.